News
The LISF team is glad to announce the LISF Public 7.4.3 Release of the software:
https://github.com/NASA-LIS/LISF/releases/tag/v7.4.3-public
The latest release includes some bug fixes over the previous public release.
Please see the Release Notes.
The NASA FLDAS (FEWS NET Land Data Assimilation System) team combines models and satellite data to monitor and forecast soil moisture in East Africa.
The LISF team is glad to announce the LISF Public 7.4.0 Release of the software:
https://github.com/NASA-LIS/LISF/releases/tag/v7.4.0-public
The latest release includes numerous new capabilities and can use additional datasets. Please see the Release Notes above.
Thanks to all the LISF software contributors, who made this release possible:
https://github.com/NASA-LIS/LISF/graphs/contributors
NASA scientists use LIS and NASA satellite datasets to show how human activities and cattle grazing helped set the stage for extreme fire years that occurred under a prolonged drought in the Pantanal region of South America, where one of the largest freshwater wetlands is found.
For the latest NASA Earth Observatory highlight of this story, please visit:
https://earthobservatory.nasa.gov/images/149398/a-human-fingerprint-on-the-pantanal-inferno
With the migration to GitHub, the LIS team has now set up a GitHub-based LISF Community Discussions page, which provides a more common place for the LIS user community to post questions.
NLDAS operational datasets are used to monitor ground temperatures for Brood X cicada emergence in Maryland.
The Land Information System (LIS) team is happy to announce the LIS software framework (LISF) Public 7.3.1 Release.
FLDAS datasets are used to view an extreme snow event that caused fatal avalanches in Afghanistan in February 2017.
On 9 Nov 2016, LDT public release 7.1rp3 and LIS public release 7.1rp7 became available for release to the general public as open source under the NASA Open Source Agreement (NOSA). Please see the Releases page for information about the new features both in LDT public release 7.1rp3 and in LIS public release 7.1rp7 and the Source page for information about obtaining both this release and older releases.
NASA's Short-term Prediction Research and Transition Center (SPoRT) real-time implementation of the Land Information System (LIS) software framework recently detected some of the soil moisture based precursor conditions that could lend some insight to the major flooding being experienced throughout parts of southern Louisiana.
On 07 Apr 2016, LIS public release 7.1rp5 became available for release to the general public as open source under the NASA Open Source Agreement (NOSA). Please see the Releases page for information about the new features in LIS public release 7.1rp5 and the Source page for information about obtaining both this release and older releases.